Explore projects

X-species automated tractography tool - development is now at https://github.com/SPMIC-UoN/xtract

FSLeyes, the FSL image viewer.

The FSL Evaluation and Example Data Suite (FEEDS), now in Python!

Talks, practicals, and other materials for the 2020 WIN PyTreat

The FSL Python Library

FileTrees provide a way to define the content of a structured directory. This can be very handy when defining input/output files for a pipeline.

Tensor Image Registration Library - a modular general-purpose image registration framework for Python with prebaked scripts for histology-to-MRI registration.

Pipeline for brain imaging processing of UK Biobank.

Pipeline developed by Fidel Alfaro Almagro, Steve Smith and Mark Jenkinson.

Contributions by FMRIB Analysis Group, University of Oxford.

Pipeline for unbiased multimodal template construction from T1, T2 and DTI images.

Triplanar U-Net ensemble network (TrUE-Net) model for WMH segmentation

Analysis pipeline used in the ‘Capturing MultiORgan Effects of COVID-19’ (C-MORE) study.

The FMRIB UKBioBank Normalisation, Parsing And Cleaning Kit

CLI to download entire projects from openneuro.org

Computational modelling course taught as part of the WIN graduate programme.

This project will aim to address one of the big challenges in imaging-neuroscience: that of how a brain’s functional connectivity, represented by resting-state maps, can be predicted from structural connectivity information obtained from dw-MRI.

Exploring machine learning methods, with special focus on the deep learning methods in order to attempt Neuroimage segmentation and analysis

Python implementation of FSL's FIX tool for denoising